Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

RSS icon
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
Thumbnail

Routine abdominal CTs offer insight into cardiovascular risk

During this year's RSNA meeting, providers were especially interested in how AI applications could enhance opportunistic screening capabilities.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

Up to half of medical organizations either already using or preparing to implement AI

With the number of FDA approved AI-enabled applications nearing 1,000, it’s clear the healthcare industry is ready to embrace the evolving technology.

artificial intelligence AI heart cardiology

Philips, Mayo Clinic using AI to improve cardiac MRI technology

The two companies aim to improve patient access to high-quality MRI scans by combining their artificial intelligence capabilities.

mammography mammogram breast cancer

AI prevents mammography positioning errors before exposure

And it can spot positioning errors in less than two seconds, new research suggests.

Thumbnail

How does breast density affect AI accuracy?

AI has shown great promise for improving early detection of breast cancer, but many algorithms are hindered by a lack of training on diverse datasets. 

Philips CT 5300

New AI-enabled CT system is officially available in North America

The scanner is equipped with features aimed at addressing some of the biggest pain points of both radiologists and technologists.

Thumbnail

GBCA dose reduced by up to 80% with help from deep learning-based image reconstruction

Although GBCAs are largely considered safe, there are concerns about how gadolinium retention could affect patients who require repeated imaging.

technologist MRI rad tech radiologic radiology

Deep learning-based reconstruction nearly halves spinal MRI acquisition times

The accelerated exam does not come at the expense of image quality, according to new work published in Academic Radiology. 

Displaying 57 - 64 of 4346

Around the web

Cardiovascular Business
GE HealthCare launches new cardiac CT scanner with advanced AI capabilities

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Cardiovascular Business
Bracco updates HeartSee coronary flow capacity software with new diagnostic features

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

Cardiovascular Business
Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.